电力建设2025，Vol.46Issue(1)：147-157,11.DOI:10.12204/j.issn.1000-7229.2025.01.013
基于多头注意力机制改进图神经网络的新能源电力系统风险评估
Risk Assessment of Renewable Energy Power Systems via Graph Multi-Attention Networks
摘要
Abstract
The accelerating global energy transition and rapid expansion of renewable energy sources,presents both opportunities and challenges.This transformation has introduced new concerns related to the"safety and stability"of power grids,particularly as large-scale integration of renewable energy sources such as wind and solar power results in issues including frequency overruns and voltage instability.This study explores the impact of renewable energy output and weather conditions on equipment failures and establishes a comprehensive scenario for power grids under renewable energy integration.A novel multihead graph-attention neural network model is proposed that integrates graph neural networks with multihead attention mechanisms.By incorporating parallel training methods,the proposed model is utilized in renewable energy power systems with the aim of improving risk assessment efficiency while maintaining accuracy in grid risk assessments.The model is trained and tested using data obtained from a provincial power grid within an electrical power simulation system.Results,derived from integrating real-world data from a provincial power grid in China with that of the electrical power simulation system,demonstrate that the attention-based graph neural network method approach substantially improves the robustness and efficiency of risk assessments compared to other artificial intelligence methods.This approach shows considerable promise in renewable energy power systems for enhancing risk assessment.关键词
新能源电力系统/深度学习/注意力机制/风险评估/风险分析Key words
renewable energy power systems/deep learning/attentional mechanism/risk assessment/risk analysis分类
信息技术与安全科学引用本文复制引用
白云鹏,张志艳,许才,郭创新,刘祝平,朱文昊..基于多头注意力机制改进图神经网络的新能源电力系统风险评估[J].电力建设,2025,46(1):147-157,11.基金项目
This work is supported by State Grid East lnner Mongolia Electric Power Co.,Ltd.(No.526604230006). 国网蒙东电力公司科技项目(526604230006) （No.526604230006）
